[PDF] Top 20 Mining Fuzzy Multiple-Level Association Rules from Quantitative Data

... and data-mining techniques have been developed to turn data into useful task-oriented ...for mining association rules identify relationships among transactions using binary ... See full document

... discovery of more general and important knowledge from data. Relevant taxonomies of data items are thus usually predefined in real-world applications. An item may, however, belong to different ... See full document

... of fuzzy association rules is an important data-mining task for which many algorithms have been ...cluster-based fuzzy association rule (CBFAR) to discover generalized ... See full document

... with quantitative values and items with hierarchy relation are, however, commonly seen in real-world ...of mining generalized association rules for quantitative ...propose fuzzy ... See full document

... 2.1 Association Rules Data mining can be applied to discover the useful patterns and rules by exploring and analyzing a large quantity of ...of data from customer surveys, ... See full document

... of fuzzy association rules is an important data-mining task for which many algorithms have been ...cluster-based fuzzy association rule (CBFAR) to discover generalized ... See full document

... Abstract Data mining is the process of extracting desirable knowledge or interesting patterns from existing databases for specific ...conventional data-mining algorithms identify ... See full document

... association rules. Following the discovery and report- ing of some rules, a data miner can select the subjective interestingness measures in Step ...the association rules. For ... See full document

... of data mining techniques for the discovery of knowledge from training samples for classification problems in industrial engineering is necessary in applications, such as group ...discover ... See full document

... 1 Data mining is the process of extracting desirable knowledge or interesting patterns from existing da- tabases for specific ...with quantitative values are also commonly seen in real-world ... See full document

... Abstract Data mining techniques can be used to find potentially useful patterns from data and to ease the knowledge acquisition bottleneck in building prototype rule-based ...new fuzzy ... See full document

... two-phase data mining technique to discover fuzzy rules for clas- sification problems based on the Apriori algo- ...frequent fuzzy grids by dividing each quantitative attribute ... See full document

... Abstract Data mining is the process of extracting desirable knowledge or interesting patterns from existing databases for specific ...and association rules under this ...of ... See full document

... Finding association rules in transaction databases is most commonly seen in data ...and data may have quantitative ...a fuzzy multiple-level mining algorithm ... See full document

... a mining algorithm to find suitable membership functions for fuzzy association rules based on the ant colony ...the fuzzy mining problem into a multi-stage graph, with each route ... See full document

... of association rules and frequency episode ...the fuzzy clustering technique to cluster network ...possible rules using the fuzzy association rule technology from each ... See full document

... Keywords: Data mining; Fuzzy partition; Association rules; Decision making ...in data processing and support of business operations, and there the size has grown ...discovery ... See full document

... store rules in lower rule table, upper rule table and variation rule table into knowledge ...Those rules can help managers make better decisions and find some unknown patterns in the database that are ... See full document

... associations mining, there are many unexplored issues deserved further ...incorporates multiple minimum supports, weights of items, quantitative database, and even more complicated fuzzy ... See full document

... of mining association rules in presence of taxonomy information was first addressed by Han and Fu (1995) and Srinkant and Agrawal (1995), ...as mining generalized association ... See full document